Call For Papers
The ICADAS aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- Statistical methods for big data
- Advanced analytics in business intelligence
- Bayesian statistics in data analysis
- Time series analysis techniques
- Data mining and statistical learning
- Statistical modeling for predictive analytics
- Machine learning in statistical methods
- Data visualization in statistical analysis
- Statistical challenges in big data
- Multivariate analysis techniques
- Sampling methods for large datasets
- Statistical inference in data science
- Data quality assessment methodologies
- Statistical approaches to data privacy
- Applications of statistics in healthcare
- Statistical methods for social sciences
- Statistical analysis in marketing research
- Big data and statistical computing
- Statistical education in data analytics
- Innovations in statistical software tools
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.